astro-ph.CO - 宇宙学和天体物理学

    cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.IT - 信息论 cs.LG - 自动学习 cs.MS - 数学软件 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.AP - 偏微分方程分析 math.CO - 组合数学 math.DS - 动力系统 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.optics - 光学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.PE - 人口与发展 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.CO]Inpainting via Generative Adversarial Networks for CMB data analysis
    • [cs.AI]Bayesian Interpolants as Explanations for Neural Inferences
    • [cs.AI]ConsciousControlFlow(CCF): A Demonstration for conscious Artificial Intelligence
    • [cs.AI]Re-conceptualising the Language Game Paradigm in the Framework of Multi-Agent Reinforcement Learning
    • [cs.AI]Reinforced Anytime Bottom Up Rule Learning for Knowledge Graph Completion
    • [cs.AI]Risk-Aware High-level Decisions for Automated Driving at Occluded Intersections with Reinforcement Learning
    • [cs.AI]Towards Exploiting Implicit Human Feedback for Improving RDF2vec Embeddings
    • [cs.CL]A Multilingual Study of Multi-Sentence Compression using Word Vertex-Labeled Graphs and Integer Linear Programming
    • [cs.CL]Asking and Answering Questions to Evaluate the Factual Consistency of Summaries
    • [cs.CL]BLEURT: Learning Robust Metrics for Text Generation
    • [cs.CL]Calibrating Structured Output Predictors for Natural Language Processing
    • [cs.CL]Conversation Learner — A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems
    • [cs.CL]Efficient Context and Schema Fusion Networks for Multi-Domain Dialogue State Tracking
    • [cs.CL]Error-correction and extraction in request dialogs
    • [cs.CL]Generating Counter Narratives against Online Hate Speech: Data and Strategies
    • [cs.CL]Global Public Health Surveillance using Media Reports: Redesigning GPHIN
    • [cs.CL]Improving Readability for Automatic Speech Recognition Transcription
    • [cs.CL]Injecting Numerical Reasoning Skills into Language Models
    • [cs.CL]Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve
    • [cs.CL]Measuring Emotions in the COVID-19 Real World Worry Dataset
    • [cs.CL]MuTual: A Dataset for Multi-Turn Dialogue Reasoning
    • [cs.CL]On optimal transformer depth for low-resource language translation
    • [cs.CL]PANDORA Talks: Personality and Demographics on Reddit
    • [cs.CL]Pruning and Sparsemax Methods for Hierarchical Attention Networks
    • [cs.CL]Recommendation Chart of Domains for Cross-Domain Sentiment Analysis:Findings of A 20 Domain Study
    • [cs.CL]Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem
    • [cs.CL]Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios
    • [cs.CL]Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events
    • [cs.CL]The Spotify Podcasts Dataset
    • [cs.CL]Translation Artifacts in Cross-lingual Transfer Learning
    • [cs.CR]Adversarial Genetic Programming for Cyber Security: A Rising Application Domain Where GP Matters
    • [cs.CR]Rethinking the Trigger of Backdoor Attack
    • [cs.CV]3D Photography using Context-aware Layered Depth Inpainting
    • [cs.CV]A Proposed IoT Smart Trap using Computer Vision for Sustainable Pest Control in Coffee Culture
    • [cs.CV]AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching
    • [cs.CV]CenterMask: single shot instance segmentation with point representation
    • [cs.CV]DMLO: Deep Matching LiDAR Odometry
    • [cs.CV]Decoupled Gradient Harmonized Detector for Partial Annotation: Application to Signet Ring Cell Detection
    • [cs.CV]DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution
    • [cs.CV]Estimating Grape Yield on the Vine from Multiple Images
    • [cs.CV]Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks
    • [cs.CV]Identification of splicing edges in tampered image based on Dichromatic Reflection Model
    • [cs.CV]Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection
    • [cs.CV]Learning to Scale Multilingual Representations for Vision-Language Tasks
    • [cs.CV]Leveraging 2D Data to Learn Textured 3D Mesh Generation
    • [cs.CV]LightConvPoint: convolution for points
    • [cs.CV]Masked GANs for Unsupervised Depth and Pose Prediction with Scale Consistency
    • [cs.CV]MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion
    • [cs.CV]Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification
    • [cs.CV]Neural Object Descriptors for Multi-View Shape Reconstruction
    • [cs.CV]Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation
    • [cs.CV]Quasi-Newton Solver for Robust Non-Rigid Registration
    • [cs.CV]Reciprocal Learning Networks for Human Trajectory Prediction
    • [cs.CV]Scalable Active Learning for Object Detection
    • [cs.CV]Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
    • [cs.CV]Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
    • [cs.CV]Sequential Neural Rendering with Transformer
    • [cs.CV]Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation
    • [cs.CV]The GeoLifeCLEF 2020 Dataset
    • [cs.CV]Towards Inheritable Models for Open-Set Domain Adaptation
    • [cs.CV]TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images
    • [cs.CV]Universal Source-Free Domain Adaptation
    • [cs.CV]Where Does It End? — Reasoning About Hidden Surfaces by Object Intersection Constraints
    • [cs.CV]X3D: Expanding Architectures for Efficient Video Recognition
    • [cs.CY]Governance of the Internet of Things (IoT)
    • [cs.DB]DataFed: Towards Reproducible Research via Federated Data Management
    • [cs.DC]Analysis of LFT2
    • [cs.DC]Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective
    • [cs.DC]Composing and Decomposing Op-Based CRDTs with Semidirect Products
    • [cs.DC]DegreeSketch: Distributed Cardinality Sketches on Massive Graphs with Applications
    • [cs.DC]Efficient Reasoning About Stencil Programs Using Selective Direct Evaluation
    • [cs.DC]Hedge Your Bets: Optimizing Long-term Cloud Costs by Mixing VM Purchasing Options
    • [cs.DC]OV: Validity-based Optimistic Smart Contracts
    • [cs.DC]Parallel/distributed implementation of cellular training for generative adversarial neural networks
    • [cs.DC]While Paper from Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing
    • [cs.DS]An Improved Cutting Plane Method for Convex Optimization, Convex-Concave Games and its Applications
    • [cs.DS]Exploration with Limited Memory: Streaming Algorithms for Coin Tossing, Noisy Comparisons, and Multi-Armed Bandits
    • [cs.GR]ARCH: Animatable Reconstruction of Clothed Humans
    • [cs.IT]Analysis of Vehicular Safety Messaging in Cellular Networks
    • [cs.IT]Improving Generalized Spatial Modulation using Translation Patterns
    • [cs.IT]Mismatched Models to Lower Bound the Capacity of Optical Fiber Channels
    • [cs.IT]ON-OFF Privacy in the Presence of Correlation
    • [cs.IT]Robust Precoder Design for 3D Massive MIMO Downlink with A Posteriori Channel Model
    • [cs.IT]Shared Angles-of-Departure in Massive MIMO Channels: Correlation Analysis and Performance Impact
    • [cs.IT]Sparse recovery of noisy data and Grothendieck inequality
    • [cs.IT]The Secrecy Capacity of Cost-Constrained Wiretap Channels
    • [cs.IT]Topological Coded Distributed Computing
    • [cs.LG]A Polynomial Neural Network with Controllable Precision and Human-Readable Topology for Prediction and System Identification
    • [cs.LG]Adaptive Stress Testing without Domain Heuristics using Go-Explore
    • [cs.LG]Adversarial Latent Autoencoders
    • [cs.LG]Anomaly Detection with SDAE
    • [cs.LG]Automated Content Grading Using Machine Learning
    • [cs.LG]Data Dieting in GAN Training
    • [cs.LG]Deep Learning and Open Set Malware Classification: A Survey
    • [cs.LG]Deep Reinforcement Learning (DRL): Another Perspective for Unsupervised Wireless Localization
    • [cs.LG]Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Apporach
    • [cs.LG]Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training
    • [cs.LG]Evolving Normalization-Activation Layers
    • [cs.LG]Federated Multi-view Matrix Factorization for Personalized Recommendations
    • [cs.LG]Feedback Recurrent Autoencoder for Video Compression
    • [cs.LG]GeneCAI: Genetic Evolution for Acquiring Compact AI
    • [cs.LG]Graph Highway Networks
    • [cs.LG]Heuristics for Link Prediction in Multiplex Networks
    • [cs.LG]HopGAT: Hop-aware Supervision Graph Attention Networks for Sparsely Labeled Graphs
    • [cs.LG]Interactions in information spread: quantification and interpretation using stochastic block models
    • [cs.LG]Learnable Subspace Clustering
    • [cs.LG]Learning Bayesian Networks that enable full propagation of evidence
    • [cs.LG]On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems
    • [cs.LG]On Anomaly Interpretation via Shapley Values
    • [cs.LG]Orthogonal Over-Parameterized Training
    • [cs.LG]Prune2Edge: A Multi-Phase Pruning Pipelines to Deep Ensemble Learning in IIoT
    • [cs.LG]Query-Focused EHR Summarization to Aid Imaging Diagnosis
    • [cs.LG]Recognizing Spatial Configurations of Objects with Graph Neural Networks
    • [cs.LG]Saliency-based Weighted Multi-label Linear Discriminant Analysis
    • [cs.LG]Score-Guided Generative Adversarial Networks
    • [cs.LG]Spectral Discovery of Jointly Smooth Features for Multimodal Data
    • [cs.LG]Structure-preserving neural networks
    • [cs.LG]TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems
    • [cs.LG]k-Nearest Neighbour Classifiers — 2nd Edition
    • [cs.MS]Automatic Differentiation in ROOT
    • [cs.NE]Analysis of the Performance of Algorithm Configurators for Search Heuristics with Global Mutation Operators
    • [cs.NE]Populations of Spiking Neurons for Reservoir Computing: Closed Loop Control of a Compliant Quadruped
    • [cs.NI]Knowledge Distillation for Mobile Edge Computation Offloading
    • [cs.NI]Real-time QoS Routing Scheme in SDN-based Robotic Cyber-Physical Systems
    • [cs.PL]Parameterized Reasoning for Distributed Systems with Consensus
    • [cs.RO]Care Robots with Sexual Assistance Functions
    • [cs.RO]Co-Robots as Care Robots
    • [cs.RO]Control and Trajectory Optimization for Soft Aerial Manipulation
    • [cs.RO]Determination of spatial configuration of an underwater swarm with minimum data
    • [cs.RO]Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images
    • [cs.RO]State-Only Imitation Learning for Dexterous Manipulation
    • [cs.RO]The Adaptive Stress Testing Formulation
    • [cs.SD]GGA-MG: Generative Genetic Algorithm for Music Generation
    • [cs.SI]CovidSens: A Vision on Reliable Social Sensing based Risk Alerting Systems for COVID-19 Spread
    • [cs.SI]Inference in the Stochastic Block Model with a Markovian assignment of the communities
    • [cs.SI]Information Seeking Responses to News of Local COVID-19 Cases: Evidence from Internet Search Data
    • [cs.SI]Large Arabic Twitter Dataset on COVID-19
    • [cs.SI]Violent music vs violence and music: Drill rap and violent crime in London
    • [eess.AS]Fast frequency discrimination and phoneme recognition using a biomimetic membrane coupled to a neural network
    • [eess.IV]A single image deep learning approach to restoration of corrupted remote sensing products
    • [eess.IV]Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model
    • [eess.IV]Cortical surface registration using unsupervised learning
    • [eess.IV]DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images
    • [eess.IV]Physics-enhanced machine learning for virtual fluorescence microscopy
    • [eess.IV]Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation
    • [eess.IV]Variable Rate Video Compression using a Hybrid Recurrent Convolutional Learning Framework
    • [eess.SP]A Review of Vibration-Based Damage Detection in Civil Structures: From Traditional Methods to Machine Learning and Deep Learning Applications
    • [eess.SY]Control of Unknown Nonlinear Systems with Linear Time-Varying MPC
    • [eess.SY]Formal Test Synthesis for Safety-Critical Autonomous Systems based on Control Barrier Functions
    • [math.AP]nPINNs: nonlocal Physics-Informed Neural Networks for a parametrized nonlocal universal Laplacian operator. Algorithms and Applications
    • [math.CO]On recursively defined combinatorial classes and labelled trees
    • [math.DS]Circum- and Inconic Invariants of 3-Periodics in the Elliptic Billiard
    • [math.NA]On the asymptotical regularization for linear inverse problems in presence of white noise
    • [math.NA]Well conditioned ptychograpic imaging via lost subspace completion
    • [math.OC]A Private and Finite-Time Algorithm for Solving a Distributed System of Linear Equations
    • [math.OC]A fast and effective MIP-based heuristic for a selective and periodic inventory routing problem in reverse logistics
    • [math.OC]Continuous and Discrete-Time Analysis of Stochastic Gradient Descent for Convex and Non-Convex Functions
    • [math.OC]Mirror Descent Algorithms for Minimizing Interacting Free Energy
    • [math.ST]Asymptotic normality of robust risk minimizers
    • [math.ST]Incidence weighting estimation under bipartite incidence graph sampling
    • [math.ST]Nonparametric Bayesian inference of discretely observed diffusions
    • [math.ST]Objective Bayesian analysis for spatial Student-t regression models
    • [math.ST]On Weighted Generalized Entropy for Double Truncated Distribution
    • [physics.optics]Adaptive optics with reflected light and deep neural networks
    • [physics.soc-ph]Extremist ideology as a complex contagion: the spread of far-right radicalization in the United States between 2005-2017
    • [physics.soc-ph]Mapping county-level mobility pattern changes in the United States in response to COVID-19
    • [physics.soc-ph]Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network
    • [q-bio.NC]MetaSleepLearner: Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning
    • [q-bio.PE]Scenario analysis of non-pharmaceutical interventions on global COVID-19 transmissions
    • [quant-ph]Predicting human-generated bitstreams using classical and quantum models
    • [stat.AP]Confidence interval for the AUC of SROC curve and some related methods using bootstrap for meta-analysis of diagnostic accuracy studies
    • [stat.AP]Estimating Fiber Orientation Distribution through Blockwise Adaptive Thresholding with Application to HCP Young Adults Data
    • [stat.AP]Estimating Scale Discrepancy in Bayesian Model Calibration for ChemCam on the Mars Curiosity Rover
    • [stat.AP]Robust inference for nonlinear regression models from the Tsallis score: application to Covid-19 contagion in Italy
    • [stat.CO]Posterior computation with the Gibbs zig-zag sampler
    • [stat.CO]Stochastic spectral embedding
    • [stat.ME]A Mathematical Assessment of the Isolation Tree Method for Data Anomaly Detection
    • [stat.ME]Adaptive MCMC for synthetic likelihoods and correlated synthetic likelihoods
    • [stat.ME]DAG With Omitted Objects Displayed (DAGWOOD): A framework for revealing causal assumptions in DAGs
    • [stat.ME]Estimating Knots and Their Association in Parallel Bilinear Spline Growth Curve Models in the Framework of Individual Measurement Occasions
    • [stat.ME]Pivotal tests for relevant differences in the second order dynamics of functional time series
    • [stat.ML]Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks
    • [stat.ML]Multiclass Classification via Class-Weighted Nearest Neighbors
    • [stat.ML]On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration
    • [stat.ML]TensorProjection Layer: A Tensor-Based Dimensionality Reduction Method in CNN

    ·····································

    • [astro-ph.CO]Inpainting via Generative Adversarial Networks for CMB data analysis
    Alireza Vafaei Sadr, Farida Farsian
    http://arxiv.org/abs/2004.04177v1

    • [cs.AI]Bayesian Interpolants as Explanations for Neural Inferences
    Kenneth L. McMillan
    http://arxiv.org/abs/2004.04198v1

    • [cs.AI]ConsciousControlFlow(CCF): A Demonstration for conscious Artificial Intelligence
    Hongzhi Wang, Bozhou Chen, Yueyang Xu, Kaixin Zhang, Shengwen Zheng, Shirong Liu
    http://arxiv.org/abs/2004.04376v1

    • [cs.AI]Re-conceptualising the Language Game Paradigm in the Framework of Multi-Agent Reinforcement Learning
    Paul Van Eecke, Katrien Beuls
    http://arxiv.org/abs/2004.04722v1

    • [cs.AI]Reinforced Anytime Bottom Up Rule Learning for Knowledge Graph Completion
    Christian Meilicke, Melisachew Wudage Chekol, Manuel Fink, Heiner Stuckenschmidt
    http://arxiv.org/abs/2004.04412v1

    • [cs.AI]Risk-Aware High-level Decisions for Automated Driving at Occluded Intersections with Reinforcement Learning
    Danial Kamran, Carlos Fernandez Lopez, Martin Lauer, Christoph Stiller
    http://arxiv.org/abs/2004.04450v1

    • [cs.AI]Towards Exploiting Implicit Human Feedback for Improving RDF2vec Embeddings
    Ahmad Al Taweel, Heiko Paulheim
    http://arxiv.org/abs/2004.04423v1

    • [cs.CL]A Multilingual Study of Multi-Sentence Compression using Word Vertex-Labeled Graphs and Integer Linear Programming
    Elvys Linhares Pontes, Stéphane Huet, Juan-Manuel Torres-Moreno, Thiago G. da Silva, Andréa Carneiro Linhares
    http://arxiv.org/abs/2004.04468v1

    • [cs.CL]Asking and Answering Questions to Evaluate the Factual Consistency of Summaries
    Alex Wang, Kyunghyun Cho, Mike Lewis
    http://arxiv.org/abs/2004.04228v1

    • [cs.CL]BLEURT: Learning Robust Metrics for Text Generation
    Thibault Sellam, Dipanjan Das, Ankur P. Parikh
    http://arxiv.org/abs/2004.04696v1

    • [cs.CL]Calibrating Structured Output Predictors for Natural Language Processing
    Abhyuday Jagannatha, Hong Yu
    http://arxiv.org/abs/2004.04361v1

    • [cs.CL]Conversation Learner — A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems
    Swadheen Shukla, Lars Liden, Shahin Shayandeh, Eslam Kamal, Jinchao Li, Matt Mazzola, Thomas Park, Baolin Peng, Jianfeng Gao
    http://arxiv.org/abs/2004.04305v1

    • [cs.CL]Efficient Context and Schema Fusion Networks for Multi-Domain Dialogue State Tracking
    Su Zhu, Jieyu Li, Lu Chen, Kai Yu
    http://arxiv.org/abs/2004.03386v2

    • [cs.CL]Error-correction and extraction in request dialogs
    Stefan Constantin, Alex Waibel
    http://arxiv.org/abs/2004.04243v1

    • [cs.CL]Generating Counter Narratives against Online Hate Speech: Data and Strategies
    Serra Sinem Tekiroglu, Yi-Ling Chung, Marco Guerini
    http://arxiv.org/abs/2004.04216v1

    • [cs.CL]Global Public Health Surveillance using Media Reports: Redesigning GPHIN
    Dave Carter, Marta Stojanovic, Philip Hachey, Kevin Fournier, Simon Rodier, Yunli Wang, Berry de Bruijn
    http://arxiv.org/abs/2004.04596v1

    • [cs.CL]Improving Readability for Automatic Speech Recognition Transcription
    Junwei Liao, Sefik Emre Eskimez, Liyang Lu, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng
    http://arxiv.org/abs/2004.04438v1

    • [cs.CL]Injecting Numerical Reasoning Skills into Language Models
    Mor Geva, Ankit Gupta, Jonathan Berant
    http://arxiv.org/abs/2004.04487v1

    • [cs.CL]Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve
    Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova
    http://arxiv.org/abs/2004.04564v1

    • [cs.CL]Measuring Emotions in the COVID-19 Real World Worry Dataset
    Bennett Kleinberg, Isabelle van der Vegt, Maximilian Mozes
    http://arxiv.org/abs/2004.04225v1

    • [cs.CL]MuTual: A Dataset for Multi-Turn Dialogue Reasoning
    Leyang Cui, Yu Wu, Shujie Liu, Yue Zhang, Ming Zhou
    http://arxiv.org/abs/2004.04494v1

    • [cs.CL]On optimal transformer depth for low-resource language translation
    Elan van Biljon, Arnu Pretorius, Julia Kreutzer
    http://arxiv.org/abs/2004.04418v1

    • [cs.CL]PANDORA Talks: Personality and Demographics on Reddit
    Matej Gjurković, Mladen Karan, Iva Vukojević, Mihaela Bošnjak, Jan Šnajder
    http://arxiv.org/abs/2004.04460v1

    • [cs.CL]Pruning and Sparsemax Methods for Hierarchical Attention Networks
    João G. Ribeiro, Frederico S. Felisberto, Isabel C. Neto
    http://arxiv.org/abs/2004.04343v1

    • [cs.CL]Recommendation Chart of Domains for Cross-Domain Sentiment Analysis:Findings of A 20 Domain Study
    Akash Sheoran, Diptesh Kanojia, Aditya Joshi, Pushpak Bhattacharyya
    http://arxiv.org/abs/2004.04478v1

    • [cs.CL]Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem
    Danielle Saunders, Bill Byrne
    http://arxiv.org/abs/2004.04498v1

    • [cs.CL]Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios
    Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao
    http://arxiv.org/abs/2004.04507v1

    • [cs.CL]Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events
    Miguel Ballesteros, Rishita Anubhai, Shuai Wang, Nima Pourdamghani, Yogarshi Vyas, Jie Ma, Parminder Bhatia, Kathleen McKeown, Yaser Al-Onaizan
    http://arxiv.org/abs/2004.04295v1

    • [cs.CL]The Spotify Podcasts Dataset
    Ann Clifton, Aasish Pappu, Sravana Reddy, Yongze Yu, Jussi Karlgren, Ben Carterette, Rosie Jones
    http://arxiv.org/abs/2004.04270v1

    • [cs.CL]Translation Artifacts in Cross-lingual Transfer Learning
    Mikel Artetxe, Gorka Labaka, Eneko Agirre
    http://arxiv.org/abs/2004.04721v1

    • [cs.CR]Adversarial Genetic Programming for Cyber Security: A Rising Application Domain Where GP Matters
    Una-May O’Reilly, Jamal Toutouh, Marcos Pertierra, Daniel Prado Sanchez, Dennis Garcia, Anthony Erb Luogo, Jonathan Kelly, Erik Hemberg
    http://arxiv.org/abs/2004.04647v1

    • [cs.CR]Rethinking the Trigger of Backdoor Attack
    Yiming Li, Tongqing Zhai, Baoyuan Wu, Yong Jiang, Zhifeng Li, Shutao Xia
    http://arxiv.org/abs/2004.04692v1

    • [cs.CV]3D Photography using Context-aware Layered Depth Inpainting
    Meng-Li Shih, Shih-Yang Su, Johannes Kopf, Jia-Bin Huang
    http://arxiv.org/abs/2004.04727v1

    • [cs.CV]A Proposed IoT Smart Trap using Computer Vision for Sustainable Pest Control in Coffee Culture
    Vitor Alexandre Campos Figueiredo, Samuel Mafra, Joel Rodrigues
    http://arxiv.org/abs/2004.04504v1

    • [cs.CV]AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching
    Xiao Song, Guorun Yang, Xinge Zhu, Hui Zhou, Zhe Wang, Jianping Shi
    http://arxiv.org/abs/2004.04627v1

    • [cs.CV]CenterMask: single shot instance segmentation with point representation
    Yuqing Wang, Zhaoliang Xu, Hao Shen, Baoshan Cheng, Lirong Yang
    http://arxiv.org/abs/2004.04446v1

    • [cs.CV]DMLO: Deep Matching LiDAR Odometry
    Zhichao Li, Naiyan Wang
    http://arxiv.org/abs/2004.03796v2

    • [cs.CV]Decoupled Gradient Harmonized Detector for Partial Annotation: Application to Signet Ring Cell Detection
    Tiancheng Lin, Yuanfan Guo, Canqian Yang, Jiancheng Yang, Yi Xu
    http://arxiv.org/abs/2004.04455v1

    • [cs.CV]DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution
    Marcel Christoph Bühler, Andrés Romero, Radu Timofte
    http://arxiv.org/abs/2004.04433v1

    • [cs.CV]Estimating Grape Yield on the Vine from Multiple Images
    Daniel L. Silver, Jabun Nasa
    http://arxiv.org/abs/2004.04278v1

    • [cs.CV]Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks
    Kakeru Mitsuno, Junichi Miyao, Takio Kurita
    http://arxiv.org/abs/2004.04394v1

    • [cs.CV]Identification of splicing edges in tampered image based on Dichromatic Reflection Model
    Zhe Shen, Peng Sun, Yubo Lang, Lei Liu, Silong Peng
    http://arxiv.org/abs/2004.04317v1

    • [cs.CV]Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection
    Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz
    http://arxiv.org/abs/2004.04725v1

    • [cs.CV]Learning to Scale Multilingual Representations for Vision-Language Tasks
    Andrea Burns, Donghyun Kim, Derry Wijaya, Kate Saenko, Bryan A. Plummer
    http://arxiv.org/abs/2004.04312v1

    • [cs.CV]Leveraging 2D Data to Learn Textured 3D Mesh Generation
    Paul Henderson, Vagia Tsiminaki, Christoph H. Lampert
    http://arxiv.org/abs/2004.04180v1

    • [cs.CV]LightConvPoint: convolution for points
    Alexandre Boulch, Gilles Puy, Renaud Marlet
    http://arxiv.org/abs/2004.04462v1

    • [cs.CV]Masked GANs for Unsupervised Depth and Pose Prediction with Scale Consistency
    Chaoqiang Zhao, Gary G. Yen, Qiyu Sun, Chongzhen Zhang, Yang Tang
    http://arxiv.org/abs/2004.04345v1

    • [cs.CV]MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion
    Kentaro Wada, Edgar Sucar, Stephen James, Daniel Lenton, Andrew J. Davison
    http://arxiv.org/abs/2004.04336v1

    • [cs.CV]Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification
    S. Wang, Y. Guan, L. Shao
    http://arxiv.org/abs/2004.04491v1

    • [cs.CV]Neural Object Descriptors for Multi-View Shape Reconstruction
    Edgar Sucar, Kentaro Wada, Andrew Davison
    http://arxiv.org/abs/2004.04485v1

    • [cs.CV]Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation
    Da Li, Timothy Hospedales
    http://arxiv.org/abs/2004.04398v1

    • [cs.CV]Quasi-Newton Solver for Robust Non-Rigid Registration
    Yuxin Yao, Bailin Deng, Weiwei Xu, Juyong Zhang
    http://arxiv.org/abs/2004.04322v1

    • [cs.CV]Reciprocal Learning Networks for Human Trajectory Prediction
    Hao Sun, Zhiqun Zhao, Zhihai He
    http://arxiv.org/abs/2004.04340v1

    • [cs.CV]Scalable Active Learning for Object Detection
    Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clement Farabet, Jose M. Alvarez
    http://arxiv.org/abs/2004.04699v1

    • [cs.CV]Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
    Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty
    http://arxiv.org/abs/2004.04400v1

    • [cs.CV]Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
    Yude Wang, Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen
    http://arxiv.org/abs/2004.04581v1

    • [cs.CV]Sequential Neural Rendering with Transformer
    Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Janne Heikkila
    http://arxiv.org/abs/2004.04548v1

    • [cs.CV]Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation
    Lin-Zhuo Chen, Zheng Lin, Ziqin Wang, Yong-Liang Yang, Ming-Ming Cheng
    http://arxiv.org/abs/2004.04534v1

    • [cs.CV]The GeoLifeCLEF 2020 Dataset
    Elijah Cole, Benjamin Deneu, Titouan Lorieul, Maximilien Servajean, Christophe Botella, Dan Morris, Nebojsa Jojic, Pierre Bonnet, Alexis Joly
    http://arxiv.org/abs/2004.04192v1

    • [cs.CV]Towards Inheritable Models for Open-Set Domain Adaptation
    Jogendra Nath Kundu, Naveen Venkat, Ambareesh Revanur, Rahul M V, R. Venkatesh Babu
    http://arxiv.org/abs/2004.04388v1

    • [cs.CV]TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images
    Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo
    http://arxiv.org/abs/2004.04634v1

    • [cs.CV]Universal Source-Free Domain Adaptation
    Jogendra Nath Kundu, Naveen Venkat, Rahul M V, R. Venkatesh Babu
    http://arxiv.org/abs/2004.04393v1

    • [cs.CV]Where Does It End? — Reasoning About Hidden Surfaces by Object Intersection Constraints
    Michael Strecke, Joerg Stueckler
    http://arxiv.org/abs/2004.04630v1

    • [cs.CV]X3D: Expanding Architectures for Efficient Video Recognition
    Christoph Feichtenhofer
    http://arxiv.org/abs/2004.04730v1

    • [cs.CY]Governance of the Internet of Things (IoT)
    Lawrence J. Trautman, Mohammed T. Hussein, Louis Ngamassi, Mason J. Molesky
    http://arxiv.org/abs/2004.03765v1

    • [cs.DB]DataFed: Towards Reproducible Research via Federated Data Management
    Dale Stansberry, Suhas Somnath, Jessica Breet, Gregory Shutt, Mallikarjun Shankar
    http://arxiv.org/abs/2004.03710v1

    • [cs.DC]Analysis of LFT2
    Geunwoo Lim, Yujin Kwon, Yongdae Kim
    http://arxiv.org/abs/2004.04294v1

    • [cs.DC]Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective
    Jie Xu, Heqiang Wang
    http://arxiv.org/abs/2004.04314v1

    • [cs.DC]Composing and Decomposing Op-Based CRDTs with Semidirect Products
    Matthew Weidner, Heather Miller, Christopher Meiklejohn
    http://arxiv.org/abs/2004.04303v1

    • [cs.DC]DegreeSketch: Distributed Cardinality Sketches on Massive Graphs with Applications
    Benjamin W. Priest
    http://arxiv.org/abs/2004.04289v1

    • [cs.DC]Efficient Reasoning About Stencil Programs Using Selective Direct Evaluation
    Arnab Das, Sriram Krishnamoorthy, Ian Briggs, Ganesh Gopalakrishnan, Ramakrishna Tipireddy
    http://arxiv.org/abs/2004.04359v1

    • [cs.DC]Hedge Your Bets: Optimizing Long-term Cloud Costs by Mixing VM Purchasing Options
    Pradeep Ambati, Noman Bashir, David Irwin, Mohammad Hajiesmaili, Prashant Shenoy
    http://arxiv.org/abs/2004.04302v1

    • [cs.DC]OV: Validity-based Optimistic Smart Contracts
    Quan Nguyen, Andre Cronje, Michael Kong
    http://arxiv.org/abs/2004.04338v1

    • [cs.DC]Parallel/distributed implementation of cellular training for generative adversarial neural networks
    Emiliano Perez, Sergio Nesmachnow, Jamal Toutouh, Erik Hemberg, Una-May O’Reily
    http://arxiv.org/abs/2004.04633v1

    • [cs.DC]While Paper from Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing
    Roman Iakymchuk, Daichi Mukunoki, Artur Podobas, Fabienne Jézéquel, Toshiyuki Imamura, Norihisa Fujita, Jens Huthmann, Shuhei Kudo, Yiyu Tan, Jens Domke, Kai Torben Ohlhus, Takeshi Fukaya, Takeo Hoshi, Yuki Murakami, Maho Nakata, Takeshi Ogita, Kentaro Sano, Taisuke Boku
    http://arxiv.org/abs/2004.04628v1

    • [cs.DS]An Improved Cutting Plane Method for Convex Optimization, Convex-Concave Games and its Applications
    Haotian Jiang, Yin Tat Lee, Zhao Song, Sam Chiu-wai Wong
    http://arxiv.org/abs/2004.04250v1

    • [cs.DS]Exploration with Limited Memory: Streaming Algorithms for Coin Tossing, Noisy Comparisons, and Multi-Armed Bandits
    Sepehr Assadi, Chen Wang
    http://arxiv.org/abs/2004.04666v1

    • [cs.GR]ARCH: Animatable Reconstruction of Clothed Humans
    Zeng Huang, Yuanlu Xu, Christoph Lassner, Hao Li, Tony Tung
    http://arxiv.org/abs/2004.04572v1

    • [cs.IT]Analysis of Vehicular Safety Messaging in Cellular Networks
    Chang-sik Choi, Francois Baccelli
    http://arxiv.org/abs/2004.04327v1

    • [cs.IT]Improving Generalized Spatial Modulation using Translation Patterns
    Lakshit Singla, Lakshmi Natarajan
    http://arxiv.org/abs/2004.04443v1

    • [cs.IT]Mismatched Models to Lower Bound the Capacity of Optical Fiber Channels
    Francisco Javier Garcia-Gomez, Gerhard Kramer
    http://arxiv.org/abs/2004.04709v1

    • [cs.IT]ON-OFF Privacy in the Presence of Correlation
    Fangwei Ye, Carolina Naim, Salim El Rouayheb
    http://arxiv.org/abs/2004.04186v1

    • [cs.IT]Robust Precoder Design for 3D Massive MIMO Downlink with A Posteriori Channel Model
    An-An Lu, Xiqi Gao, Chengshan Xiao
    http://arxiv.org/abs/2004.04331v1

    • [cs.IT]Shared Angles-of-Departure in Massive MIMO Channels: Correlation Analysis and Performance Impact
    Xu Du, Ashutosh Sabharwal
    http://arxiv.org/abs/2004.04346v1

    • [cs.IT]Sparse recovery of noisy data and Grothendieck inequality
    Eitan Tadmor, Ming Zhong
    http://arxiv.org/abs/2004.04348v1

    • [cs.IT]The Secrecy Capacity of Cost-Constrained Wiretap Channels
    Sreejith Sreekumar, Alexander Bunin, Ziv Goldfeld, Haim H. Permuter, Shlomo Shamai
    http://arxiv.org/abs/2004.04330v1

    • [cs.IT]Topological Coded Distributed Computing
    Kai Wan, Mingyue Ji, Giuseppe Caire
    http://arxiv.org/abs/2004.04421v1

    • [cs.LG]A Polynomial Neural Network with Controllable Precision and Human-Readable Topology for Prediction and System Identification
    Gang Liu, Jing Wang
    http://arxiv.org/abs/2004.03955v2

    • [cs.LG]Adaptive Stress Testing without Domain Heuristics using Go-Explore
    Mark Koren, Mykel J. Kochenderfer
    http://arxiv.org/abs/2004.04292v1

    • [cs.LG]Adversarial Latent Autoencoders
    Stanislav Pidhorskyi, Donald Adjeroh, Gianfranco Doretto
    http://arxiv.org/abs/2004.04467v1

    • [cs.LG]Anomaly Detection with SDAE
    Benjamin Smith, Kevin Cant, Gloria Wang
    http://arxiv.org/abs/2004.04391v1

    • [cs.LG]Automated Content Grading Using Machine Learning
    Rahul Kr Chauhan, Ravinder Saharan, Siddhartha Singh, Priti Sharma
    http://arxiv.org/abs/2004.04300v1

    • [cs.LG]Data Dieting in GAN Training
    Jamal Toutouh, Una-May O’Reilly, Erik Hemberg
    http://arxiv.org/abs/2004.04642v1

    • [cs.LG]Deep Learning and Open Set Malware Classification: A Survey
    Jingyun Jia
    http://arxiv.org/abs/2004.04272v1

    • [cs.LG]Deep Reinforcement Learning (DRL): Another Perspective for Unsupervised Wireless Localization
    You Li, Xin Hu, Yuan Zhuang, Zhouzheng Gao, Peng Zhang, Naser El-Sheimy
    http://arxiv.org/abs/2004.04618v1

    • [cs.LG]Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Apporach
    Chee-Ming Ting, S. Balqis Samdin, Meini Tang, Hernando Ombao
    http://arxiv.org/abs/2004.04362v1

    • [cs.LG]Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training
    Simon Wiedemann, Temesgen Mehari, Kevin Kepp, Wojciech Samek
    http://arxiv.org/abs/2004.04729v1

    • [cs.LG]Evolving Normalization-Activation Layers
    Hanxiao Liu, Andrew Brock, Karen Simonyan, Quoc V. Le
    http://arxiv.org/abs/2004.02967v2

    • [cs.LG]Federated Multi-view Matrix Factorization for Personalized Recommendations
    Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, Muhammad Ammad-Ud-Din
    http://arxiv.org/abs/2004.04256v1

    • [cs.LG]Feedback Recurrent Autoencoder for Video Compression
    Adam Golinski, Reza Pourreza, Yang Yang, Guillaume Sautiere, Taco S Cohen
    http://arxiv.org/abs/2004.04342v1

    • [cs.LG]GeneCAI: Genetic Evolution for Acquiring Compact AI
    Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar
    http://arxiv.org/abs/2004.04249v1

    • [cs.LG]Graph Highway Networks
    Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
    http://arxiv.org/abs/2004.04635v1

    • [cs.LG]Heuristics for Link Prediction in Multiplex Networks
    Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant Reddy, Manuela Veloso
    http://arxiv.org/abs/2004.04704v1

    • [cs.LG]HopGAT: Hop-aware Supervision Graph Attention Networks for Sparsely Labeled Graphs
    Chaojie Ji, Ruxin Wang, Rongxiang Zhu, Yunpeng Cai, Hongyan Wu
    http://arxiv.org/abs/2004.04333v1

    • [cs.LG]Interactions in information spread: quantification and interpretation using stochastic block models
    Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
    http://arxiv.org/abs/2004.04552v1

    • [cs.LG]Learnable Subspace Clustering
    Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu
    http://arxiv.org/abs/2004.04520v1

    • [cs.LG]Learning Bayesian Networks that enable full propagation of evidence
    Anthony Constantinou
    http://arxiv.org/abs/2004.04571v1

    • [cs.LG]On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems
    Ivan Y. Tyukin, Desmond J. Higham, Alexander N. Gorban
    http://arxiv.org/abs/2004.04479v1

    • [cs.LG]On Anomaly Interpretation via Shapley Values
    Naoya Takeishi, Yoshinobu Kawahara
    http://arxiv.org/abs/2004.04464v1

    • [cs.LG]Orthogonal Over-Parameterized Training
    Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Li Xiong, Le Song
    http://arxiv.org/abs/2004.04690v1

    • [cs.LG]Prune2Edge: A Multi-Phase Pruning Pipelines to Deep Ensemble Learning in IIoT
    Besher Alhalabi, Mohamed Gaber, Shadi Basurra
    http://arxiv.org/abs/2004.04710v1

    • [cs.LG]Query-Focused EHR Summarization to Aid Imaging Diagnosis
    Denis Jered McInerney, Borna Dabiri, Anne-Sophie Touret, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace
    http://arxiv.org/abs/2004.04645v1

    • [cs.LG]Recognizing Spatial Configurations of Objects with Graph Neural Networks
    Laetitia Teodorescu, Katja Hofmann, Pierre-Yves Oudeyer
    http://arxiv.org/abs/2004.04546v1

    • [cs.LG]Saliency-based Weighted Multi-label Linear Discriminant Analysis
    Lei Xu, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
    http://arxiv.org/abs/2004.04221v1

    • [cs.LG]Score-Guided Generative Adversarial Networks
    Minhyeok Lee, Junhee Seok
    http://arxiv.org/abs/2004.04396v1

    • [cs.LG]Spectral Discovery of Jointly Smooth Features for Multimodal Data
    Or Yair, Felix Dietrich, Rotem Mulayoff, Ronen Talmon, Ioannis G. Kevrekidis
    http://arxiv.org/abs/2004.04386v1

    • [cs.LG]Structure-preserving neural networks
    Quercus Hernandez, Alberto Badias, David Gonzalez, Francisco Chinesta, Elias Cueto
    http://arxiv.org/abs/2004.04653v1

    • [cs.LG]TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems
    Ka-Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu
    http://arxiv.org/abs/2004.04320v1

    • [cs.LG]k-Nearest Neighbour Classifiers — 2nd Edition
    Padraig Cunningham, Sarah Jane Delany
    http://arxiv.org/abs/2004.04523v1

    • [cs.MS]Automatic Differentiation in ROOT
    Vassil Vassilev, Aleksandr Efremov, Oksana Shadura
    http://arxiv.org/abs/2004.04435v1

    • [cs.NE]Analysis of the Performance of Algorithm Configurators for Search Heuristics with Global Mutation Operators
    George T. Hall, Pietro Simone Oliveto, Dirk Sudholt
    http://arxiv.org/abs/2004.04519v1

    • [cs.NE]Populations of Spiking Neurons for Reservoir Computing: Closed Loop Control of a Compliant Quadruped
    Alexander Vandesompele, Gabriel Urbain, Francis wyffels, Joni Dambre
    http://arxiv.org/abs/2004.04560v1

    • [cs.NI]Knowledge Distillation for Mobile Edge Computation Offloading
    Haowei Chen, Liekang Zeng, Shuai Yu, Xu Chen
    http://arxiv.org/abs/2004.04366v1

    • [cs.NI]Real-time QoS Routing Scheme in SDN-based Robotic Cyber-Physical Systems
    Rutvij H. Jhaveri, Rui Tan, Sagar V. Ramani
    http://arxiv.org/abs/2004.04466v1

    • [cs.PL]Parameterized Reasoning for Distributed Systems with Consensus
    Nouraldin Jaber, Christopher Wagner, Swen Jacobs, Milind Kulkarni, Roopsha Samanta
    http://arxiv.org/abs/2004.04613v1

    • [cs.RO]Care Robots with Sexual Assistance Functions
    Oliver Bendel
    http://arxiv.org/abs/2004.04428v1

    • [cs.RO]Co-Robots as Care Robots
    Oliver Bendel
    http://arxiv.org/abs/2004.04374v1

    • [cs.RO]Control and Trajectory Optimization for Soft Aerial Manipulation
    Joshua Fishman, Luca Carlone
    http://arxiv.org/abs/2004.04238v1

    • [cs.RO]Determination of spatial configuration of an underwater swarm with minimum data
    R. dell’Erba
    http://arxiv.org/abs/2004.04220v1

    • [cs.RO]Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images
    Travis Manderson, Stefan Wapnick, David Meger, Gregory Dudek
    http://arxiv.org/abs/2004.04697v1

    • [cs.RO]State-Only Imitation Learning for Dexterous Manipulation
    Ilija Radosavovic, Xiaolong Wang, Lerrel Pinto, Jitendra Malik
    http://arxiv.org/abs/2004.04650v1

    • [cs.RO]The Adaptive Stress Testing Formulation
    Mark Koren, Anthony Corso, Mykel J. Kochenderfer
    http://arxiv.org/abs/2004.04293v1

    • [cs.SD]GGA-MG: Generative Genetic Algorithm for Music Generation
    Majid Farzaneh, Rahil Mahdian Toroghi
    http://arxiv.org/abs/2004.04687v1

    • [cs.SI]CovidSens: A Vision on Reliable Social Sensing based Risk Alerting Systems for COVID-19 Spread
    Md Tahmid Rashid, Dong Wang
    http://arxiv.org/abs/2004.04565v1

    • [cs.SI]Inference in the Stochastic Block Model with a Markovian assignment of the communities
    Quentin Duchemin
    http://arxiv.org/abs/2004.04402v1

    • [cs.SI]Information Seeking Responses to News of Local COVID-19 Cases: Evidence from Internet Search Data
    Ana I. Bento, Thuy Nguyen, Coady Wing, Felipe Lozano-Rojas, Yong-Yeol Ahn, Kosali Simon
    http://arxiv.org/abs/2004.04591v1

    • [cs.SI]Large Arabic Twitter Dataset on COVID-19
    Sarah Alqurashi, Ahmad Alhindi, Eisa Alanazi
    http://arxiv.org/abs/2004.04315v1

    • [cs.SI]Violent music vs violence and music: Drill rap and violent crime in London
    Bennett Kleinberg, Paul McFarlane
    http://arxiv.org/abs/2004.04598v1

    • [eess.AS]Fast frequency discrimination and phoneme recognition using a biomimetic membrane coupled to a neural network
    Woo Seok Lee, Hyunjae Kim, Andrew N. Cleland, Kang-Hun Ahn
    http://arxiv.org/abs/2004.04459v1

    • [eess.IV]A single image deep learning approach to restoration of corrupted remote sensing products
    Anna Petrovskaia, Raghavendra B. Jana, Ivan V. Oseledets
    http://arxiv.org/abs/2004.04209v1

    • [eess.IV]Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model
    Mizuho Nishio, Sho Koyasu, Shunjiro Noguchi, Takao Kiguchi, Kanako Nakatsu, Thai Akasaka, Hiroki Yamada, Kyo Itoh
    http://arxiv.org/abs/2004.04432v1

    • [eess.IV]Cortical surface registration using unsupervised learning
    Jieyu Cheng, Adrian Dalca, Bruce Fischl, Lilla Zollei
    http://arxiv.org/abs/2004.04617v1

    • [eess.IV]DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images
    Md. Rezaul Karim, Till Döhmen, Dietrich Rebholz-Schuhmann, Stefan Decker, Michael Cochez, Oya Beyan
    http://arxiv.org/abs/2004.04582v1

    • [eess.IV]Physics-enhanced machine learning for virtual fluorescence microscopy
    Colin L. Cooke, Fanjie Kong, Amey Chaware, Kevin C. Zhou, Kanghyun Kim, Rong Xu, D. Michael Ando, Samuel J. Yang, Pavan Chandra Konda, Roarke Horstmeyer
    http://arxiv.org/abs/2004.04306v1

    • [eess.IV]Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation
    Neerav Karani, Krishna Chaitanya, Ender Konukoglu
    http://arxiv.org/abs/2004.04668v1

    • [eess.IV]Variable Rate Video Compression using a Hybrid Recurrent Convolutional Learning Framework
    Aishwarya Jadhav
    http://arxiv.org/abs/2004.04244v1

    • [eess.SP]A Review of Vibration-Based Damage Detection in Civil Structures: From Traditional Methods to Machine Learning and Deep Learning Applications
    Onur Avci, Osama Abdeljaber, Serkan Kiranyaz, Mohammed Hussein, Moncef Gabbouj, Daniel J. Inman
    http://arxiv.org/abs/2004.04373v1

    • [eess.SY]Control of Unknown Nonlinear Systems with Linear Time-Varying MPC
    Dimitris Papadimitriou, Ugo Rosolia, Francesco Borrelli
    http://arxiv.org/abs/2004.03041v2

    • [eess.SY]Formal Test Synthesis for Safety-Critical Autonomous Systems based on Control Barrier Functions
    Prithvi Akella, Mohamadreza Ahmadi, Richard M. Murray, Aaron D. Ames
    http://arxiv.org/abs/2004.04227v1

    • [math.AP]nPINNs: nonlocal Physics-Informed Neural Networks for a parametrized nonlocal universal Laplacian operator. Algorithms and Applications
    Guofei Pang, Marta D’Elia, Michael Parks, George E. Karniadakis
    http://arxiv.org/abs/2004.04276v1

    • [math.CO]On recursively defined combinatorial classes and labelled trees
    Ali Chouria, Vlad-Florin Drǎgoi, Jean-Gabriel Luque
    http://arxiv.org/abs/2004.04203v1

    • [math.DS]Circum- and Inconic Invariants of 3-Periodics in the Elliptic Billiard
    Dan Reznik, Ronaldo Garcia
    http://arxiv.org/abs/2004.02680v3

    • [math.NA]On the asymptotical regularization for linear inverse problems in presence of white noise
    Shuai Lu, Pingping Niu, Frank Werner
    http://arxiv.org/abs/2004.04451v1

    • [math.NA]Well conditioned ptychograpic imaging via lost subspace completion
    Anton Forstner, Felix Krahmer, Oleh Melnyk, Nada Sissouno
    http://arxiv.org/abs/2004.04458v1

    • [math.OC]A Private and Finite-Time Algorithm for Solving a Distributed System of Linear Equations
    Shripad Gade, Ji Liu, Nitin H. Vaidya
    http://arxiv.org/abs/2004.04680v1

    • [math.OC]A fast and effective MIP-based heuristic for a selective and periodic inventory routing problem in reverse logistics
    Leopoldo E. Cárdenas-Barrón, Rafael A. Melo
    http://arxiv.org/abs/2004.04188v1

    • [math.OC]Continuous and Discrete-Time Analysis of Stochastic Gradient Descent for Convex and Non-Convex Functions
    Xavier Fontaine, Valentin De Bortoli, Alain Durmus
    http://arxiv.org/abs/2004.04193v1

    • [math.OC]Mirror Descent Algorithms for Minimizing Interacting Free Energy
    Lexing Ying
    http://arxiv.org/abs/2004.04555v1

    • [math.ST]Asymptotic normality of robust risk minimizers
    Stanislav Minsker
    http://arxiv.org/abs/2004.02328v2

    • [math.ST]Incidence weighting estimation under bipartite incidence graph sampling
    Martina Patone, Li-Chun Zhang
    http://arxiv.org/abs/2004.04257v1

    • [math.ST]Nonparametric Bayesian inference of discretely observed diffusions
    Jean-Charles Croix, Masoumeh Dashti, Istvàn Zoltàn Kiss
    http://arxiv.org/abs/2004.04636v1

    • [math.ST]Objective Bayesian analysis for spatial Student-t regression models
    Jose A. Ordoñez, Marcos O. Prates, Larissa A. Matos, Victor H. Lachos
    http://arxiv.org/abs/2004.04341v1

    • [math.ST]On Weighted Generalized Entropy for Double Truncated Distribution
    Shivangi Singh, Chanchal Kundu
    http://arxiv.org/abs/2004.04267v1

    • [physics.optics]Adaptive optics with reflected light and deep neural networks
    Ivan Vishniakou, Johannes D. Seelig
    http://arxiv.org/abs/2004.04603v1

    • [physics.soc-ph]Extremist ideology as a complex contagion: the spread of far-right radicalization in the United States between 2005-2017
    Mason Youngblood
    http://arxiv.org/abs/2004.04265v1

    • [physics.soc-ph]Mapping county-level mobility pattern changes in the United States in response to COVID-19
    Song Gao, Jinmeng Rao, Yuhao Kang, Yunlei Liang, Jake Kruse
    http://arxiv.org/abs/2004.04544v1

    • [physics.soc-ph]Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network
    Baichuan Mo, Kairui Feng, Yu Shen, Clarence Tam, Daqing Li, Yafeng Yin, Jinhua Zhao
    http://arxiv.org/abs/2004.04602v1

    • [q-bio.NC]MetaSleepLearner: Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning
    Nannapas Banluesombatkul, Pichayoot Ouppaphan, Pitshaporn Leelaarporn, Payongkit Lakhan, Busarakum Chaitusaney, Nattapong Jaimchariyatam, Ekapol Chuangsuwanich, Nat Dilokthanakul, Theerawit Wilaiprasitporn
    http://arxiv.org/abs/2004.04157v1

    • [q-bio.PE]Scenario analysis of non-pharmaceutical interventions on global COVID-19 transmissions
    Xiaohui Chen, Ziyi Qiu
    http://arxiv.org/abs/2004.04529v1

    • [quant-ph]Predicting human-generated bitstreams using classical and quantum models
    Alex Bocharov, Michael Freedman, Eshan Kemp, Martin Roetteler, Krysta M. Svore
    http://arxiv.org/abs/2004.04671v1

    • [stat.AP]Confidence interval for the AUC of SROC curve and some related methods using bootstrap for meta-analysis of diagnostic accuracy studies
    Hisashi Noma, Yuki Matsushima
    http://arxiv.org/abs/2004.04339v1

    • [stat.AP]Estimating Fiber Orientation Distribution through Blockwise Adaptive Thresholding with Application to HCP Young Adults Data
    Seungyong Hwang, Thomas C. M. Lee, Debashis Paul, Jie Peng
    http://arxiv.org/abs/2004.04258v1

    • [stat.AP]Estimating Scale Discrepancy in Bayesian Model Calibration for ChemCam on the Mars Curiosity Rover
    K. Sham Bhat, Kary Myers, Earl Lawrence, James Colgan, Elizabeth Judge
    http://arxiv.org/abs/2004.04301v1

    • [stat.AP]Robust inference for nonlinear regression models from the Tsallis score: application to Covid-19 contagion in Italy
    Paolo Girardi, Luca Greco, Valentina Mameli, Monica Musio, Walter Racugno, Erlis Ruli, Laura Ventura
    http://arxiv.org/abs/2004.03187v2

    • [stat.CO]Posterior computation with the Gibbs zig-zag sampler
    Matthias Sachs, Deborshee Sen, Jianfeng Lu, David Dunson
    http://arxiv.org/abs/2004.04254v1

    • [stat.CO]Stochastic spectral embedding
    S. Marelli, P. -R. Wagner, C. Lataniotis, B. Sudret
    http://arxiv.org/abs/2004.04480v1

    • [stat.ME]A Mathematical Assessment of the Isolation Tree Method for Data Anomaly Detection
    Fernando A. Morales, Jorge M. Ramírez, Edgar A. Ramos
    http://arxiv.org/abs/2004.04512v1

    • [stat.ME]Adaptive MCMC for synthetic likelihoods and correlated synthetic likelihoods
    Umberto Picchini, Umberto Simola, Jukka Corander
    http://arxiv.org/abs/2004.04558v1

    • [stat.ME]DAG With Omitted Objects Displayed (DAGWOOD): A framework for revealing causal assumptions in DAGs
    Noah A Haber, Mollie E Wood, Sarah Wieten, Alexander Breskin
    http://arxiv.org/abs/2004.04251v1

    • [stat.ME]Estimating Knots and Their Association in Parallel Bilinear Spline Growth Curve Models in the Framework of Individual Measurement Occasions
    Jin Liu
    http://arxiv.org/abs/2004.04154v1

    • [stat.ME]Pivotal tests for relevant differences in the second order dynamics of functional time series
    Anne van Delft, Holger Dette
    http://arxiv.org/abs/2004.04724v1

    • [stat.ML]Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks
    Matthew F Dixon
    http://arxiv.org/abs/2004.04717v1

    • [stat.ML]Multiclass Classification via Class-Weighted Nearest Neighbors
    Justin Khim, Ziyu Xu, Shashank Singh
    http://arxiv.org/abs/2004.04715v1

    • [stat.ML]On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration
    Wenlong Mou, Chris Junchi Li, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan
    http://arxiv.org/abs/2004.04719v1

    • [stat.ML]TensorProjection Layer: A Tensor-Based Dimensionality Reduction Method in CNN
    Toshinari Morimoto, Su-Yun Huang
    http://arxiv.org/abs/2004.04454v1